US12420145B2ActiveUtilityA1

Systems and methods of using artificial intelligence and machine learning for generating alignment plans to align a user with an imaging sensor during a treatment session

90
Assignee: ROM TECH INCPriority: Oct 3, 2019Filed: Mar 9, 2022Granted: Sep 23, 2025
Est. expiryOct 3, 2039(~13.2 yrs left)· nominal 20-yr term from priority
G16H 50/20A63B 2024/0093A63B 2225/20A63B 2220/05A63B 2024/0068G16H 20/30A63B 22/0605A63B 22/0694A61H 2201/5064A61H 2201/5097G16H 80/00A61H 2201/1261A61H 2201/5092A61H 2201/1633A61H 2201/501A61H 2201/5043A61H 2201/5061A61H 2201/5071A61B 5/7275A61H 2201/164G06N 20/00A61H 2201/1671A61H 2201/1215A61H 2201/1642A61B 5/0022A61H 2201/5069A61H 2201/5048G16H 40/67A61H 2201/5046A61H 2205/10A61H 2203/0431A61H 2201/5012A63B 2220/16A63B 2071/0663A63B 2022/0652A63B 21/0058A63B 2220/30A63B 2225/50A63B 2220/13A63B 21/00178A63B 2071/063A63B 2071/0655A63B 2220/52A63B 2022/0623A63B 24/0087A63B 2071/068A63B 2220/51A63B 2071/0652A63B 21/00181A63B 24/0062G16H 40/63A63B 24/0075G16H 50/70
90
PatentIndex Score
1
Cited by
1,351
References
18
Claims

Abstract

Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor. The method comprises generating one or more machine learning models trained to identify alignment plans. The method also comprises receiving user data and determining that a targeted portion of a body of the user is outside of a field of view of the imaging sensor. The method further comprises generating the one or more alignment plans using the one or more machine learning models. Each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from a first location to the target location. The method also comprises transmitting the one or more alignment plans to a computing device.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
       1. A method for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor during a treatment session, wherein the method comprises:
 generating, by the artificial intelligence engine, one or more machine learning models trained to identify alignment plans; 
 receiving user data, wherein the user data comprises a first location of a targeted portion of a body of the user and one or more characteristics of the user; 
 determining that the targeted portion of the body is outside of a field of view of the imaging sensor; 
 generating, by the artificial intelligence engine and by using the one or more machine learning models, the one or more alignment plans, wherein the generating is based on at least one of the one or more characteristics of the user, wherein each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from the first location to the target location; 
 transmitting the one or more alignment plans to a computing device; and 
 transmitting, to a treatment apparatus, one or more control signals that cause the treatment apparatus to adjust one or more portions of the treatment apparatus, wherein such adjustment complies with one or more operating parameters specified in the one or more alignment plans. 
 
     
     
       2. The method of  claim 1 , wherein the first location of the targeted portion of the body is received from at least one selected from the group consisting of a camera, a RADAR sensing system, a LIDAR sensing system, an acoustic sensing system, a thermal sensing system, an ultrasonic sensing system, and a goniometer. 
     
     
       3. The method of  claim 1 , wherein the one or more control signals cause a force to be imparted to one or more pedals of the treatment apparatus. 
     
     
       4. The method of  claim 1 , wherein the one or more control signals cause a rotation of one or more pedals of the treatment apparatus. 
     
     
       5. The method of  claim 1 , wherein the computing device comprises a clinical portal of a healthcare professional, and wherein, during a telemedicine session, the one or more control signals are transmitted in real-time or near real-time from the computing device to the treatment apparatus. 
     
     
       6. The method of  claim 1 , further comprises presenting, to the user on a user portal included in the computing device, one or more communications included in the one or more elements of at least one of the one or more alignment plans, and wherein the one or more communications comprise at least one selected from the group consisting of a visual communication, a tactile communication, and an acoustic communication. 
     
     
       7. The method of  claim 6 , further comprising transmitting, in real-time or near real-time during a telemedicine session in which a clinical portal of a healthcare professional is engaged, the one or more alignment plans to be presented on the clinical portal of the healthcare professional. 
     
     
       8. The method of  claim 1 , further comprising generating, on a user interface, an instance of a virtual representation of the targeted portion of the body, wherein the instance is enabled to characterize, in real-time or near real-time, a current location of the targeted portion of the body. 
     
     
       9. The method of  claim 1 , further comprising:
 receiving image data from the imaging sensor; and 
 based at least in part on the image data, generating a characterization of one or more aspects of the targeted portion of the body. 
 
     
     
       10. The method of  claim 9 , further comprising:
 generating, by the artificial intelligence engine, one or more treatment plans for the user, wherein the generating is based at least on the characterization and on at least one of the one or more characteristics of the user; and 
 transmitting the one or more treatment plans to the computing device. 
 
     
     
       11. A system for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor during a treatment session, the system comprising:
 a memory device for storing instructions; and 
 a processing device communicatively coupled to the memory device, the processing device configured to execute the instructions to: 
 generate, by the artificial intelligence engine, one or more machine learning models trained to identify alignment plans, 
 receive user data, wherein the user data comprises a first location of a targeted portion of a body of the user and one or more characteristics of the user, 
 determine that the targeted portion of the body is outside of a field of view of the imaging sensor, 
 generate, by the artificial intelligence engine and using the one or more machine learning models, the one or more alignment plans, wherein the generating is based on at least one of the one or more characteristics of the user, wherein each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from the first location to the target location, 
 transmit the one or more alignment plans to a computing device; and 
 transmit, to a treatment apparatus, one or more control signals that cause the treatment apparatus to adjust one or more portions of the treatment apparatus, wherein such adjustment complies with one or more operating parameters specified in the one or more alignment plans. 
 
     
     
       12. The system of  claim 11 , wherein, to receive the first location of the targeted portion of the body, the processing device is further configured to execute the instructions to receive the first location of the targeted portion of the body from at least one selected from the group consisting of a camera, a RADAR sensing system, a LIDAR sensing system, an acoustic sensing system, a thermal sensing system, an ultrasonic sensing system, and a goniometer. 
     
     
       13. The system of  claim 11 , wherein the one or more control signals cause a force to be imparted to one or more pedals of the treatment apparatus. 
     
     
       14. The system of  claim 11 , wherein the one or more control signals cause a rotation of one or more pedals of the treatment apparatus. 
     
     
       15. The system of  claim 11 , wherein the computing device comprises a clinical portal of a healthcare professional, and wherein, during a telemedicine session, the one or more control signals are transmitted in real-time or near real-time from the computing device to the treatment apparatus. 
     
     
       16. The system of  claim 11 , wherein the computing device comprises a user portal of the user, wherein the user portal is configured to present, to the user, one or more communications included in the one or more elements of at least one of the one or more alignment plans, and wherein the one or more communications comprise at least one selected from the group consisting of a visual communication, a tactile communication, and an acoustic communication. 
     
     
       17. The system of  claim 16 , wherein the processing device is further configured to execute the instructions to transmit, in real-time ore near real time during a telemedicine session in which a clinical portal of a healthcare professional is engaged, the one or more alignment plans to be presented on the clinical portal of the healthcare professional. 
     
     
       18. A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:
 generate, by an artificial intelligence engine, one or more machine learning models trained to identify alignment plans; 
 receive user data, wherein the user data comprises a first location of a targeted portion of a body of a user and one or more characteristics of the user; 
 determine that the targeted portion of the body is outside of a field of view of an imaging sensor; 
 generate, by the artificial intelligence engine and by using the one or more machine learning models, one or more alignment plans, wherein the generating is based on at least one of the one or more characteristics of the user, wherein each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from the first location to the target location; 
 transmit the one or more alignment plans to a computing device; and 
 transmit, to a treatment apparatus, one or more control signals that cause the treatment apparatus to adjust one or more portions of the treatment apparatus, wherein such adjustment complies with one or more operating parameters specified in the one or more alignment plans.

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